The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Combined Inhibition of CCL2, CX3CR1, and CCR5 Abrogates Ly6C hi and Ly6C lo Monocytosis and Almost Abolishes Atherosclerosis in Hypercholesterolemic Mice
Abstract
Background— Monocytes are critical mediators of atherogenesis. Deletion of individual chemokines or chemokine receptors leads to significant but only partial inhibition of lesion development, whereas deficiency in other signals such as CXCL16 or CCR1 accelerates atherosclerosis. Evidence that particular chemokine pathways may cooperate to promote monocyte accumulation into inflamed tissues, particularly atherosclerotic arteries, is still lacking. Methods and Results— Here, we show that chemokine-mediated signals critically determine the frequency of monocytes in the blood and bone marrow under both noninflammatory and atherosclerotic conditions. Particularly, CCL2-, CX3CR1-, and CCR5-dependent signals differentially alter CD11b + Ly6G − 7/4 hi (also known as Ly6C hi ) and CD11b + Ly6G − 7/4 lo (Ly6C lo ) monocytosis. Combined inhibition of CCL2, CX3CR1, and CCR5 in hypercholesterolemic, atherosclerosis-susceptible apolipoprotein E–deficient mice leads to abrogation of bone marrow monocytosis and to additive reduction in circulating monocytes despite persistent hypercholesterolemia. These effects are associated with a marked and additive 90% reduction in atherosclerosis. Interestingly, lesion size highly correlates with the number of circulating monocytes, particularly the CD11b + Ly6G − 7/4 lo subset. Conclusions— CCL2, CX3CR1, and CCR5 play independent and additive roles in atherogenesis. Signals mediated through these pathways critically determine the frequency of circulating monocyte subsets and thereby account for almost all macrophage accumulation into atherosclerotic arteries.
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Cites
The many roles of chemokines and chemokine receptors in inflammation
Charo, I. F., & Ransohoff, R. M. (2006) · New England Journal of Medicine · doi:10.1056/nejmra052723 · Cited by 2,523
Boring, L., Gosling, J., Cleary, M., & Charo, I. F. (1998) · Nature · doi:10.1038/29788 · Cited by 1,965
ApoE-deficient mice develop lesions of all phases of atherosclerosis throughout the arterial tree.
Nakashima, Y., Plump, A. S., Raines, E. W., Breslow, J. L., & Ross, R. (1994) · Arteriosclerosis and Thrombosis: A Journal of Vascular Biology · doi:10.1161/01.atv.14.1.133 · Cited by 1,693
Tacke, F., Alvarez, D., Kaplan, T. J., Jakubzick, C., Spanbroek, R., Llodra, J., Garin, A., Liu, J., Mack, M., van Rooijen, N., et al. (2007) · Journal of Clinical Investigation · doi:10.1172/jci28549 · Cited by 1,323
Tsou, C.-L., Peters, W., Si, Y., Slaymaker, S., Aslanian, A. M., Weisberg, S. P., Mack, M., & Charo, I. F. (2007) · Journal of Clinical Investigation · doi:10.1172/jci29919 · Cited by 1,152
Decreased atherosclerosis in CX3CR1–/– mice reveals a role for fractalkine in atherogenesis
Lesnik, P., Haskell, C. A., & Charo, I. F. (2003) · Journal of Clinical Investigation · doi:10.1172/jci15555 · Cited by 487
Huo, Y., Weber, C., Forlow, S. B., Sperandio, M., Thatte, J., Mack, M., Jung, S., Littman, D. R., & Ley, K. (2001) · Journal of Clinical Investigation · doi:10.1172/jci12877 · Cited by 266
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Monocyte recruitment during infection and inflammation
Shi, C., & Pamer, E. G. (2011) · Nature Reviews Immunology · doi:10.1038/nri3070 · Cited by 3,015
Macrophages in atherosclerosis: a dynamic balance
Moore, K. J., Sheedy, F. J., & Fisher, E. A. (2013) · Nature reviews. Immunology · doi:10.1038/nri3520 · Cited by 2,559
Atherosclerosis: current pathogenesis and therapeutic options
Weber, C., & Noels, H. (2011) · Nature Medicine · doi:10.1038/nm.2538 · Cited by 2,203
Macrophage Phenotype and Function in Different Stages of Atherosclerosis
Tabas, I., & Bornfeldt, K. E. (2016) · Circulation Research · doi:10.1161/circresaha.115.306256 · Cited by 1,121
Local proliferation dominates lesional macrophage accumulation in atherosclerosis
Robbins, C. S., Hilgendorf, I., Weber, G. F., Theurl, I., Iwamoto, Y., Figueiredo, J.-L., Gorbatov, R., Sukhova, G. K., Gerhardt, L. M. S., Smyth, D., et al. (2013) · Nature Medicine · doi:10.1038/nm.3258 · Cited by 1,041
Metadata
- Authors
- Combadière, C., Potteaux, S., Rodero, M., Simon, T., Pezard, A., Esposito, B., Merval, R., Proudfoot, A., Tedgui, A., & Mallat, Z.
- Venue
- Circulation
- Published
- 2008-04
- Volume
- 117
- Issue
- 13
- Pages
- 1649-1657
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2077792952
- Cited by
- 663
- References
- 7
- FWCI
- 13.20
- Type
- journal article
- Language
- en
- Open access
- closed
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